Abstract
A data-driven model-free design method of PID gains has been developed based on unfalsified control for a mixed sensitivity control problem. PID gains can be falsified effectively by this method if many sinusoidal responses are used. However, this requires many experiments. In this paper, we propose a method of generating such data that efficiently falsify PID gains by filtering the input output data with many bandpass filters. By this method, PID gains can be falsified effectively from a step response data of a closed-loop system
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